In today's episode of Category Visionaries, we speak with Patricia Thaine, Co-Founder & CEO of Private AI, a privacy tech startup that's raised over $11 Million in funding, about how a new awareness of privacy concerns and a slew of regulations are driving transformation in the sector, and why Private AI’s comprehensive solution package has found its perfect market fit. Covering everything from privacy regulation compliance, determining the risks associated with different types of data, and even privacy-free training data for chatbot programs, private AI is helping get the most out of big data without exposing people to undue risk.

We also speak about Patricia’s background in research on privacy and language processing, why new regulations are driving a rush towards a more privacy-centric tech sector, the value and risk of companies with hoards of harvested data, and the current state of the privacy space about which Patricia is largely optimistic.

Topics Discussed:

Patricia’s background in the academic world of privacy and language processing models
How Patricia knew that her education was taking her towards starting her own tech company, and when her interest in privacy began
Why so many companies struggle to deal with the data they collect, in terms of both scale and complexity
The Private AI triple offering of regulation compliance, risk differentiation and privacy-free training for chatbot programs
How, for once, regulations are driving innovation in the privacy-sensitive tech economy
Why Private AI works in 47 second languages, and believes that privacy is not only for the English speaking world

Favorite book:

How the World Really Works: The Science Behind How We Got Here and Where We're Going

Patricia Thaine, Co-Founder & CEO of Private AI: Over $11 Million Raised to Help Organizations Anonymize PII to Achieve Regulatory Compliance